The study aimed to determine how the inclusion of volunteered geographic information (VGI) alongside professional geographic information (PGI) impacts user judgements and system acceptance. 101 participants evaluated a travel website containing different combinations of VGI and PGI data. Presenting VGI increased perceptions of currency, usefulness, credibility and authority. Telling users about the VGI modestly improved authority, usefulness and satisfaction. The results suggest VGI can enhance existing systems without negatively impacting user perceptions if applied appropriately.
REFERENCE:
PARKER, C.J., MAY, A. and MITCHELL, V., 2012. Using VGI to enhance user judgements of quality and authority. IN: Geographical Information Science Research UK (GISRUK) 2012 Conference Proceedings. Available at: https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/9509
Amateur Volunteered Geographic Information (VGI) has been used together with Professional Geographic Information (PGI) since its inception during the mid 00’s alongside neogeography. While the geographic accuracy and quality of VGI has been demonstrated to be more than good enough, no previous research has been published on the influence VGI has on the user perceptions of the mashup. This paper presents a quantitative investigation into how including VGI in mashups, and telling users their mashup contains VGI influences user perceptions of quality and authority- which ultimately decide if the user wishes to utilise the mashup or not.
Presenting a new, clear approach to defining neogeography and its various elements, understanding the stakeholders in VGI and researching how volunteered information may benefit users over and above traditional cartography.
An Exploration of Volunteered Geographic Information stakeholdersChristopher J. Parker
Volunteered Geographic Information (VGI) has huge potential for influencing the use of geographic information systems. However, there is a wide range of individuals involved in this process, each with their own motivations for contributing and using volunteered data. This paper investigates the range of stakeholders involved with VGI, their relationships and the main tensions and issues involved. The research was based on a series of detailed interviews and theory-driven coding of data. From this, a Rich Picture (Monk, Howard 1998) was developed to graphically present and relate stakeholder relationship information. The findings have implications for how stakeholder groups may be described, and how VGI can lead to enhanced products and services.
PARKER, C.J., 2010. An Exploration of Volunteered Geographic Information Stakeholders, M. HAKLAY, J. MORLEY and H. RAHEMTULLA, eds. In: Proceedings of the GIS Research UK 18th Annual Conference, 14-16 April 2010 2010, UCL pp137-142.
This document outlines four 40-minute workshops on topics related to research and writing papers. The workshops cover: 1) distinguishing between popular and scholarly sources; 2) the literature review process; 3) how to avoid plagiarism; and 4) using the citation software Endnote to quickly cite sources and create bibliographies in the recommended citation style.
Relevance of volunteered geographic information in a real world contextChristopher J. Parker
The document discusses a study that examined how volunteer geographic information (VGI) and professional geographic information (PGI) differ in relevance to users. Through focus groups with kayakers, the study investigated which characteristics of each information type are most or least important to end users in the context of trip planning. The results provide insights into how VGI and PGI can be effectively utilized based on different usage situations and user needs. The findings may help identify unique opportunities for VGI to provide additional benefits beyond PGI.
Update on ASTM Standards Influencing Property Due Diligence EDR
The document summarizes key revisions made to the ASTM E1527-05 Phase I Environmental Site Assessment standard. Major revisions include simplifying the definition of recognized environmental conditions (RECs), adding new definitions for historical RECs and controlled RECs, and clarifying that vapor migration must be considered in Phase I investigations. Other revisions address regulatory file reviews, user responsibilities, and additional investigation of industrial/manufacturing properties. The revisions are meant to provide more clarity and guidance to environmental professionals conducting Phase I ESAs.
Literature review: measurement of client outcomes in homelessness servicesMark Planigale
Explores a wide range of practical and theoretical issues relating to introduction of client outcomes measures in welfare / human service organisations, with a particular focus on the housing and homelessness assistance sector.
REFERENCE:
PARKER, C.J., MAY, A. and MITCHELL, V., 2012. Using VGI to enhance user judgements of quality and authority. IN: Geographical Information Science Research UK (GISRUK) 2012 Conference Proceedings. Available at: https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/9509
Amateur Volunteered Geographic Information (VGI) has been used together with Professional Geographic Information (PGI) since its inception during the mid 00’s alongside neogeography. While the geographic accuracy and quality of VGI has been demonstrated to be more than good enough, no previous research has been published on the influence VGI has on the user perceptions of the mashup. This paper presents a quantitative investigation into how including VGI in mashups, and telling users their mashup contains VGI influences user perceptions of quality and authority- which ultimately decide if the user wishes to utilise the mashup or not.
Presenting a new, clear approach to defining neogeography and its various elements, understanding the stakeholders in VGI and researching how volunteered information may benefit users over and above traditional cartography.
An Exploration of Volunteered Geographic Information stakeholdersChristopher J. Parker
Volunteered Geographic Information (VGI) has huge potential for influencing the use of geographic information systems. However, there is a wide range of individuals involved in this process, each with their own motivations for contributing and using volunteered data. This paper investigates the range of stakeholders involved with VGI, their relationships and the main tensions and issues involved. The research was based on a series of detailed interviews and theory-driven coding of data. From this, a Rich Picture (Monk, Howard 1998) was developed to graphically present and relate stakeholder relationship information. The findings have implications for how stakeholder groups may be described, and how VGI can lead to enhanced products and services.
PARKER, C.J., 2010. An Exploration of Volunteered Geographic Information Stakeholders, M. HAKLAY, J. MORLEY and H. RAHEMTULLA, eds. In: Proceedings of the GIS Research UK 18th Annual Conference, 14-16 April 2010 2010, UCL pp137-142.
This document outlines four 40-minute workshops on topics related to research and writing papers. The workshops cover: 1) distinguishing between popular and scholarly sources; 2) the literature review process; 3) how to avoid plagiarism; and 4) using the citation software Endnote to quickly cite sources and create bibliographies in the recommended citation style.
Relevance of volunteered geographic information in a real world contextChristopher J. Parker
The document discusses a study that examined how volunteer geographic information (VGI) and professional geographic information (PGI) differ in relevance to users. Through focus groups with kayakers, the study investigated which characteristics of each information type are most or least important to end users in the context of trip planning. The results provide insights into how VGI and PGI can be effectively utilized based on different usage situations and user needs. The findings may help identify unique opportunities for VGI to provide additional benefits beyond PGI.
Update on ASTM Standards Influencing Property Due Diligence EDR
The document summarizes key revisions made to the ASTM E1527-05 Phase I Environmental Site Assessment standard. Major revisions include simplifying the definition of recognized environmental conditions (RECs), adding new definitions for historical RECs and controlled RECs, and clarifying that vapor migration must be considered in Phase I investigations. Other revisions address regulatory file reviews, user responsibilities, and additional investigation of industrial/manufacturing properties. The revisions are meant to provide more clarity and guidance to environmental professionals conducting Phase I ESAs.
Literature review: measurement of client outcomes in homelessness servicesMark Planigale
Explores a wide range of practical and theoretical issues relating to introduction of client outcomes measures in welfare / human service organisations, with a particular focus on the housing and homelessness assistance sector.
The document discusses a proposed solution called insideGOOD that would provide nonprofits with a complete system for managing feedback surveys. It notes that current options are inadequate and that nonprofits are missing valuable feedback data. InsideGOOD would offer monthly subscriptions for automated tools to design, distribute, analyze and act on survey results. It projects that as participation grows, the system will become smarter and provide more value to customers. Details include the business model, features, team, and projections for revenue and market penetration over three years.
Creating an outcomes framework for your organisationMark Planigale
Key steps in creating a client outcomes measurement framework for a welfare / human service organisation. Particular focus on homelessness assistance services.
Pitfalls and Countermeasures in Software Quality Measurements and EvaluationsHironori Washizaki
Hironori Washizaki, "Pitfalls and Countermeasures in Software Quality Measurements and Evaluations," 5th International Workshop on Quantitative Approaches to Software Quality (QuASoQ), Keynote, Nanjing, Dec 4, 2017
Top Risks in Global Supply Chains: Primary-Source Intelligence and Recommenda...Sustainable Brands
The globalization of supply chains, occurring in many industries these days, has created unforeseen challenges in ensuring the workers and environments by which products are now manufactured are treated ethically and responsibly. For a long time supplier audits used to be just paper- or spreadsheet-based, without much accompanying data analysis, aggregation or trending. That is now beginning to change, leading to new levels of sophistication in extracting intelligence from supply chain data. For this session, we are joined by two organization leading this shift: Intertek, the largest and longest running CSR auditing body conducting over 60,000 such audits each year and author of the Intertek Workplace Conditions Assessment (WCA), the fastest growing CSR audit report with over 15,000 participating factories to date; and Sedex, the world's largest collaborative platform for sharing supply chain data, with over 36,000 participating organizations representing 30 industry sectors and more than 24 million workers in more than 160 countries. The two will combine their latest observations for an analysis of critical supply chain risks around the world that executives should keep top of mind.
Introducing data driven practices into sales environmentsBarry Magee
1) The document examines the impact of introducing data visualization tools on user engagement and sales results in a complex sales environment over three cycles.
2) Key findings include that visualization drives discovery of new insights and uncovered organizational issues, while the right data delivery process is critical for adoption. Aggregating data into a central system had more impact initially than advanced analytics.
3) Over the three cycles, engagement and sales results improved as the tools evolved from basic spreadsheets to aggregated data views to interactive client profiles. This showed that data transformations impact organizations by uncovering inefficiencies and that visualization tools are effective early wins.
Dr. Veronica Martinez presented research on developing a method to assess customer value-in-use of product-service systems. The research team adapted the repertory grid technique from psychology to interview customers about their experiences with three different product-service providers. Frequency analysis and the Honey technique were used to analyze the data and identify the most important constructs. Key findings showed customers had difficulty articulating feelings, and the repertory grid technique helped elicit important constructs. The research provided novelty through the operationalization of value-in-use assessments and showing how value can vary between end-users and decision-makers in business-to-business environments.
Turning internal audit into the data analytics epicenter for your organizationACL Services
Session from ACL Connections 2016
While most audit departments naturally focus more on their assurance services, this session will focus on how ACL can help elevate
your department’s advisory services into what one day could be the epicenter of data analytics across your organization. In this
dramatic presentation, an ACL customer shares their strategies, thought processes, speed-bumps, and successes as their
department rose to been seen as the data analytics leaders in their organization. Are you ready to take the next step?
Key learning outcomes:
• Understand the value of having a trusted, dedicated, centralized data analytics group
• Learn about real-world applications of how to use ACL to enhance your advisory services
• Explore different strategies to becoming the data analytics epicenter for your organization
The Broker's Role in Making Healthcare Transparency WorkPrairieStates
Transparency in healthcare costs alone does not typically change consumer behavior. To be effective, transparency needs to be paired with engaged employees, consumer-oriented health plans that incentivize shopping and value, easy to use tools customized for the organization, and programs to drive ongoing communication and engagement. Measuring the impact of transparency initiatives allows organizations to track utilization shifts and savings over time to continue improving programs. Selecting the right transparency tool is important and should incorporate actual claims data, quality metrics, engagement features, and reporting capabilities.
The document provides guidelines for structuring application security assessment reports. It recommends that reports include details about the assessors and assessment methodology. The report should specify the scope, timeline, and targets of the assessment. It should also list any limitations and provide a summary of findings by risk level. The appendix should outline the testing tools and methodology used. Finally, the report should include a remediation plan with timelines and descriptions of how issues will be addressed.
Adoption of New Service Development Tools in the Financial Service IndustryDayu Tony Jin
This is the presentation slide that I presented at IEEE International Conference on Industrial Engineering and Engineering Management 2011, Macau.
This paper looks into antecedents of new service development tool adoption by using Theory of Planned Behavior. Empirical study was conducted among Singapore financial service firms.
The results show that usefulness, ease of use, compatibility and resource commitment significantly affect tool adoption behavior.
This document discusses using contextual information like location and habitual metrics to improve biometrics for authentication. It notes that location data is less invasive than habitual data. The objectives are to understand how context provides better biometrics usage and how privacy is affected. Challenges include privacy concerns, data processing, and sensor accuracy. A literature review found a user's identity comes from who they are, what they request, how/when/where they connect, and why. The solution is to combine data from multiple sensors like GPS, Bluetooth, and accelerometers. Benefits for enterprises include dynamic security and understanding employee identity and habits. Next steps include privacy best practices, prototyping, and testing metrics. An internship would allow exploring relating biome
1) The document discusses evaluating the effectiveness of information systems by assessing whether they are achieving planned goals, using resources properly, and having the right controls selected.
2) Effectiveness can be evaluated through both relative and absolute approaches by comparing performance before and after implementation or directly assessing goal accomplishment.
3) Key factors that may indicate ineffectiveness include excessive downtime, slow response time, high maintenance costs, inability to interface with new software/hardware, unreliable outputs, and frequent need for maintenance/modifications.
This document discusses the fundamentals of data quality management. It begins by introducing the speaker, Laura Sebastian-Coleman, and providing an abstract and agenda for the presentation. The abstract states that while organizations rely on data, traditional data management requires many skills and a strategic perspective. Technology changes have increased data volume, velocity and variety, but veracity is still a challenge. Both traditional and big data must be managed together. The presentation will revisit data quality management fundamentals and how to apply them to traditional and big data environments. Attendees will learn how to assess their data environment and provide reliable data to stakeholders.
Data Quality Doesn’t Just Happen: And Here’s What Some of the Industry’s Most...InsightInnovation
Data quality isn’t always the sexiest topic, but it’s critical and one that buyers and suppliers often neglect to have. The ramifications of ignoring it can cost millions of dollars. Some of the industry’s largest buyers and suppliers have found a simple solution though and it’s one that is available to everyone else too. Come here about how the issue of data quality concerns haven’t gone away, and what others are doing to make sure they and their insights are protected.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!Polestar Solutions
Empower your organization with the right analytics approach—Guided Analytics or Self-Service Business Intelligence (BI)—to unlock the true potential of your data. Discover the benefits and find your perfect fit, whether you prefer expert-guided insights or self-exploration, enabling your team to make data-driven decisions and drive transformative outcomes.
Amp Up Your Testing by Harnessing Test DataTechWell
The data tsunami is coming—or maybe it’s already here. Data science, big data, and machine learning are the buzzwords of the day. Data is changing our products and the way we build them, so we should also change the way we verify our products. In a world of increasing connectivity and accelerated deadlines, data can provide an edge. But what role should data play in assessing the quality of software? Where does it make sense to use data, and where is it inappropriate? Steve Rowe covers the history of how data fits into testing, explains why data is an important tool to have in your quality toolkit, and presents strategies for adding data to your testing plans and using it more effectively in your testing.
IRJET- Predicting Review Ratings for Product MarketingIRJET Journal
This document discusses predicting review ratings for product marketing using big data analysis. It proposes using Hadoop tools like HDFS, MapReduce, Hive and Pig to analyze large amounts of product review data from sources like blogs in order to provide more accurate predictions of review ratings. The system would gather reviews, convert unstructured data to structured data, analyze the data using Hadoop queries to determine popular products and trends. It would then display the results as bar charts and pie charts comparing review ratings for products. Experiments show the Hadoop-based system provides results faster than traditional databases for large datasets over 100MB in size.
Expanding AI in Healthcare: Introducing the New Healthcare.AI™ by Health Cata...Health Catalyst
Healthcare leaders face an unprecedented amount of critical business issues across revenue, cost, and quality. In response, many business and analytics leaders are trying to integrate AI (augmented intelligence) into their analytics processes to better address these critical issues. Leaders have struggled to integrate AI into current tools, integrate or change workflows, and demonstrate a positive impact of AI. We have learned from our first release of Healthcare.ai years ago that it is not enough to have a technically solid, self-service engine for generating and deploying predictive models at the point of care. A more comprehensive approach is needed to successfully use AI.
The New Healthcare.AI offering from Health Catalyst is a transformational suite of products and expert services that address the wider array of critical business issues. Healthcare.AI dramatically broadens the use and uses cases for effective AI within your organization. Join Jason Jones, Chief Analytics and Data Science Officer, as he shares tools and approaches to serve a growing breadth of stakeholders needing faster turnaround and smaller margins for error.
What You’ll Learn:
- How to expand the use cases where AI is applied.
- How to integrate AI into everyday workflow and decisions.
- How to increase your success rate in AI adoption.
Junior UX Crunch: How To Avoid UX Usability Mistakes and Unleash Your PowerChristopher J. Parker
Usability happens when users accesses all site features, efficiently complete their tasks, and feel satisfied. Usability encompasses all areas of UX. Yet most UX designers focus on simple usability assessments, only discovering usability pitfalls once poor usability hurts their business. My talk helps you avoid these mistakes. I will cover usability testing’s misconceptions, analysis, and reporting. You will choose the right test for the right design context and drive your company’s design decisions. We will, ultimately, give your customer more usable and satisfying experiences.
The True Height of the Waist: Accurately locating the waist in 3D Body ScanningChristopher J. Parker
How to locate the most suitable waist location with a 3D Body Scanner to a higher accuracy and precision than any previous method.
REFERENCE
Gill, S., Parker, C.J., Hayes, S., Wren, P. and Panchenko, A. (2014), “The True Height of the Waist: Explorations of automated body scanner waist definitions of the TC2 scanner”, 5th International Conference and Exhibition on 3D Body Scanning Technologies, Hometrica Consulting, Lugano, Switzerland, pp. 55–65.
The document discusses a proposed solution called insideGOOD that would provide nonprofits with a complete system for managing feedback surveys. It notes that current options are inadequate and that nonprofits are missing valuable feedback data. InsideGOOD would offer monthly subscriptions for automated tools to design, distribute, analyze and act on survey results. It projects that as participation grows, the system will become smarter and provide more value to customers. Details include the business model, features, team, and projections for revenue and market penetration over three years.
Creating an outcomes framework for your organisationMark Planigale
Key steps in creating a client outcomes measurement framework for a welfare / human service organisation. Particular focus on homelessness assistance services.
Pitfalls and Countermeasures in Software Quality Measurements and EvaluationsHironori Washizaki
Hironori Washizaki, "Pitfalls and Countermeasures in Software Quality Measurements and Evaluations," 5th International Workshop on Quantitative Approaches to Software Quality (QuASoQ), Keynote, Nanjing, Dec 4, 2017
Top Risks in Global Supply Chains: Primary-Source Intelligence and Recommenda...Sustainable Brands
The globalization of supply chains, occurring in many industries these days, has created unforeseen challenges in ensuring the workers and environments by which products are now manufactured are treated ethically and responsibly. For a long time supplier audits used to be just paper- or spreadsheet-based, without much accompanying data analysis, aggregation or trending. That is now beginning to change, leading to new levels of sophistication in extracting intelligence from supply chain data. For this session, we are joined by two organization leading this shift: Intertek, the largest and longest running CSR auditing body conducting over 60,000 such audits each year and author of the Intertek Workplace Conditions Assessment (WCA), the fastest growing CSR audit report with over 15,000 participating factories to date; and Sedex, the world's largest collaborative platform for sharing supply chain data, with over 36,000 participating organizations representing 30 industry sectors and more than 24 million workers in more than 160 countries. The two will combine their latest observations for an analysis of critical supply chain risks around the world that executives should keep top of mind.
Introducing data driven practices into sales environmentsBarry Magee
1) The document examines the impact of introducing data visualization tools on user engagement and sales results in a complex sales environment over three cycles.
2) Key findings include that visualization drives discovery of new insights and uncovered organizational issues, while the right data delivery process is critical for adoption. Aggregating data into a central system had more impact initially than advanced analytics.
3) Over the three cycles, engagement and sales results improved as the tools evolved from basic spreadsheets to aggregated data views to interactive client profiles. This showed that data transformations impact organizations by uncovering inefficiencies and that visualization tools are effective early wins.
Dr. Veronica Martinez presented research on developing a method to assess customer value-in-use of product-service systems. The research team adapted the repertory grid technique from psychology to interview customers about their experiences with three different product-service providers. Frequency analysis and the Honey technique were used to analyze the data and identify the most important constructs. Key findings showed customers had difficulty articulating feelings, and the repertory grid technique helped elicit important constructs. The research provided novelty through the operationalization of value-in-use assessments and showing how value can vary between end-users and decision-makers in business-to-business environments.
Turning internal audit into the data analytics epicenter for your organizationACL Services
Session from ACL Connections 2016
While most audit departments naturally focus more on their assurance services, this session will focus on how ACL can help elevate
your department’s advisory services into what one day could be the epicenter of data analytics across your organization. In this
dramatic presentation, an ACL customer shares their strategies, thought processes, speed-bumps, and successes as their
department rose to been seen as the data analytics leaders in their organization. Are you ready to take the next step?
Key learning outcomes:
• Understand the value of having a trusted, dedicated, centralized data analytics group
• Learn about real-world applications of how to use ACL to enhance your advisory services
• Explore different strategies to becoming the data analytics epicenter for your organization
The Broker's Role in Making Healthcare Transparency WorkPrairieStates
Transparency in healthcare costs alone does not typically change consumer behavior. To be effective, transparency needs to be paired with engaged employees, consumer-oriented health plans that incentivize shopping and value, easy to use tools customized for the organization, and programs to drive ongoing communication and engagement. Measuring the impact of transparency initiatives allows organizations to track utilization shifts and savings over time to continue improving programs. Selecting the right transparency tool is important and should incorporate actual claims data, quality metrics, engagement features, and reporting capabilities.
The document provides guidelines for structuring application security assessment reports. It recommends that reports include details about the assessors and assessment methodology. The report should specify the scope, timeline, and targets of the assessment. It should also list any limitations and provide a summary of findings by risk level. The appendix should outline the testing tools and methodology used. Finally, the report should include a remediation plan with timelines and descriptions of how issues will be addressed.
Adoption of New Service Development Tools in the Financial Service IndustryDayu Tony Jin
This is the presentation slide that I presented at IEEE International Conference on Industrial Engineering and Engineering Management 2011, Macau.
This paper looks into antecedents of new service development tool adoption by using Theory of Planned Behavior. Empirical study was conducted among Singapore financial service firms.
The results show that usefulness, ease of use, compatibility and resource commitment significantly affect tool adoption behavior.
This document discusses using contextual information like location and habitual metrics to improve biometrics for authentication. It notes that location data is less invasive than habitual data. The objectives are to understand how context provides better biometrics usage and how privacy is affected. Challenges include privacy concerns, data processing, and sensor accuracy. A literature review found a user's identity comes from who they are, what they request, how/when/where they connect, and why. The solution is to combine data from multiple sensors like GPS, Bluetooth, and accelerometers. Benefits for enterprises include dynamic security and understanding employee identity and habits. Next steps include privacy best practices, prototyping, and testing metrics. An internship would allow exploring relating biome
1) The document discusses evaluating the effectiveness of information systems by assessing whether they are achieving planned goals, using resources properly, and having the right controls selected.
2) Effectiveness can be evaluated through both relative and absolute approaches by comparing performance before and after implementation or directly assessing goal accomplishment.
3) Key factors that may indicate ineffectiveness include excessive downtime, slow response time, high maintenance costs, inability to interface with new software/hardware, unreliable outputs, and frequent need for maintenance/modifications.
This document discusses the fundamentals of data quality management. It begins by introducing the speaker, Laura Sebastian-Coleman, and providing an abstract and agenda for the presentation. The abstract states that while organizations rely on data, traditional data management requires many skills and a strategic perspective. Technology changes have increased data volume, velocity and variety, but veracity is still a challenge. Both traditional and big data must be managed together. The presentation will revisit data quality management fundamentals and how to apply them to traditional and big data environments. Attendees will learn how to assess their data environment and provide reliable data to stakeholders.
Data Quality Doesn’t Just Happen: And Here’s What Some of the Industry’s Most...InsightInnovation
Data quality isn’t always the sexiest topic, but it’s critical and one that buyers and suppliers often neglect to have. The ramifications of ignoring it can cost millions of dollars. Some of the industry’s largest buyers and suppliers have found a simple solution though and it’s one that is available to everyone else too. Come here about how the issue of data quality concerns haven’t gone away, and what others are doing to make sure they and their insights are protected.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!Polestar Solutions
Empower your organization with the right analytics approach—Guided Analytics or Self-Service Business Intelligence (BI)—to unlock the true potential of your data. Discover the benefits and find your perfect fit, whether you prefer expert-guided insights or self-exploration, enabling your team to make data-driven decisions and drive transformative outcomes.
Amp Up Your Testing by Harnessing Test DataTechWell
The data tsunami is coming—or maybe it’s already here. Data science, big data, and machine learning are the buzzwords of the day. Data is changing our products and the way we build them, so we should also change the way we verify our products. In a world of increasing connectivity and accelerated deadlines, data can provide an edge. But what role should data play in assessing the quality of software? Where does it make sense to use data, and where is it inappropriate? Steve Rowe covers the history of how data fits into testing, explains why data is an important tool to have in your quality toolkit, and presents strategies for adding data to your testing plans and using it more effectively in your testing.
IRJET- Predicting Review Ratings for Product MarketingIRJET Journal
This document discusses predicting review ratings for product marketing using big data analysis. It proposes using Hadoop tools like HDFS, MapReduce, Hive and Pig to analyze large amounts of product review data from sources like blogs in order to provide more accurate predictions of review ratings. The system would gather reviews, convert unstructured data to structured data, analyze the data using Hadoop queries to determine popular products and trends. It would then display the results as bar charts and pie charts comparing review ratings for products. Experiments show the Hadoop-based system provides results faster than traditional databases for large datasets over 100MB in size.
Expanding AI in Healthcare: Introducing the New Healthcare.AI™ by Health Cata...Health Catalyst
Healthcare leaders face an unprecedented amount of critical business issues across revenue, cost, and quality. In response, many business and analytics leaders are trying to integrate AI (augmented intelligence) into their analytics processes to better address these critical issues. Leaders have struggled to integrate AI into current tools, integrate or change workflows, and demonstrate a positive impact of AI. We have learned from our first release of Healthcare.ai years ago that it is not enough to have a technically solid, self-service engine for generating and deploying predictive models at the point of care. A more comprehensive approach is needed to successfully use AI.
The New Healthcare.AI offering from Health Catalyst is a transformational suite of products and expert services that address the wider array of critical business issues. Healthcare.AI dramatically broadens the use and uses cases for effective AI within your organization. Join Jason Jones, Chief Analytics and Data Science Officer, as he shares tools and approaches to serve a growing breadth of stakeholders needing faster turnaround and smaller margins for error.
What You’ll Learn:
- How to expand the use cases where AI is applied.
- How to integrate AI into everyday workflow and decisions.
- How to increase your success rate in AI adoption.
Similar to HOW VGI Influences Online Usability (20)
Junior UX Crunch: How To Avoid UX Usability Mistakes and Unleash Your PowerChristopher J. Parker
Usability happens when users accesses all site features, efficiently complete their tasks, and feel satisfied. Usability encompasses all areas of UX. Yet most UX designers focus on simple usability assessments, only discovering usability pitfalls once poor usability hurts their business. My talk helps you avoid these mistakes. I will cover usability testing’s misconceptions, analysis, and reporting. You will choose the right test for the right design context and drive your company’s design decisions. We will, ultimately, give your customer more usable and satisfying experiences.
The True Height of the Waist: Accurately locating the waist in 3D Body ScanningChristopher J. Parker
How to locate the most suitable waist location with a 3D Body Scanner to a higher accuracy and precision than any previous method.
REFERENCE
Gill, S., Parker, C.J., Hayes, S., Wren, P. and Panchenko, A. (2014), “The True Height of the Waist: Explorations of automated body scanner waist definitions of the TC2 scanner”, 5th International Conference and Exhibition on 3D Body Scanning Technologies, Hometrica Consulting, Lugano, Switzerland, pp. 55–65.
The document summarizes a study exploring how volunteers provide geographic information (VGI) that users find beneficial. The study aimed to: 1) identify where VGI is useful in users' activities; 2) understand how VGI differs from professional information; and 3) determine how VGI versus professional information affects activity outcomes. The researcher selected hill walkers, surfers, and kayakers as groups that rely on geographic data. Interviews examined which information sources and delivery methods groups use and find most reliable. Preliminary findings suggest currency, depth, and quality are most important to users searching for information.
This document discusses the ergonomics of graphical human-computer interaction and summarizes some results from a study on data usability for kayakers. The study found that: 1) data was only useful to kayakers when they could interpret it as meaningful and relevant information for planning and decision making; 2) usability needs to be measured by the ability to make appropriate decisions; and 3) data usefulness often depends on both the temporal and geographical context, as information about water levels and small geographical details were particularly important.
The document discusses the characteristics of different stakeholders in user-generated geographic information (VGI). It identifies four main stakeholder groups: consumers, special interest mapping groups, local communities, and professionals. For each group, it outlines their motivations, needs, and perspectives regarding VGI data completeness, freedom of use, community focus, and how VGI can add value when integrated with traditional geographic data. The document concludes that stakeholder usability depends on both functional and human factors, and that people are motivated to contribute through a sense of community and helping others.
How accurate does geographic information (GI) need to be, when compared to the real world, to gain user trust? To better understand the user experience, do we need to consider data structures, formats and user
manuals as types of user interface? What caused KML to become a de facto standard, overtaking GML, which
is seemingly well engineered?
These questions concern the usability of GI. While the GIS industry is starting to be aware of the importance
of usability in software and hardware product development, so, too, are some providers of GI. There is,
however a lack of research and methodologies designed for understanding usability of information itself
rather than the interface or system through which it is presented. This is both a huge oversight and
opportunity, when considering that information can sometimes cost 95% of the total project value, or that in
many products the information itself is critical to the user’s experience – for example, in personal navigation
devices (PND). The level of usability of GI combined with system usability can also impact on productivity as
significant time and resources may be spent on their management. In some situations it can even have
safety critical implication – as in the case of a satnav user who followed directions on to a rail track minutes
before a train crashed into her car (BBC®, 2008).
This paper is based on a report from a workshop that was organised by Ordnance Survey to discuss the
usability of GI. It was a first opportunity for researchers from diverse backgrounds, including cartography, GI
science, human factors, ergonomics and human-computer interaction to come together and discuss this
important issue. The outcomes of the workshop, though preliminary, are relevant to any user of GI – and the
issues identified might change the way people in the industry think about and evaluate GI products alongside
applications.
This document discusses Volunteered Geographic Information (VGI) and how human factors research can help improve it. It outlines that VGI allows people to add their own geographic data and notes. It also explains that human factors research focuses on usability and the user experience. Finally, it lists some key research questions such as understanding stakeholders, how people perceive volunteered data, and how volunteered and professional geographic data can be combined effectively.
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7. Study Aims
What We Are Trying To Work Out
• The extent to which the content of the information
within the mashup affects the users’ judgements on
the mashup.
• The extent to which the user judgements on the
information influence the overall usability and
system acceptance of the mashup.
• The extent to which the facets of the users’
judgements which may be harnessed to optimise
the design of future mashups combining both VGI
and PGI information.
8. Study Rational
What We Are Really Getting At
Presenting VGI Telling Participants
Alongside PGI in a Their Mashup
mashup Contains VGI
The Utility of VGI, The degree to which
what it may offer to current perceptions of
users that PGI does information from
not amateur volunteers
The Style of VGI, a influences perception
different way of of neogeography
presenting information
16/01/2012
9. Study Rational
Dependable Variables
User Judgements of Online Information System Acceptance Model
Rieh (2002) Maguire (1998)
Quality Authority Usability
Good Trustworthy Usefulness
Accurate Credible Clear
Current Reliable Efficient
Useful Official Satisfaction
Important Authority
11. Methodology
Selection of a Participant Community
• Need to critically evaluate information
• Can be bounded in as a simple user group
• Make use of PGI as well as generating and utilising
VGI
• Critically assess information for risk management
• BUT be normal people doing normal things.
• Selection Criteria
• Age 18-65
• Full time wheelchair user
• Non cognitive or Sensory Disabled
• Non-house bound
• Other (regular ethics)
12. Methodology
Two Parts of the Study
• Part 1
• Observation (6 wheelchair users)
• VGI: Generate Data Set
• Literature Review
• PGI: Pool data
• Part 2
• Mono Methods
• Experimental
• Online (101 participants)
• Four Groups – with a unique combination of
contents of the map and information about
the map.
13. Methodology
Fixed Variables and Groups
Information Presented
In Map
PGI PGI + VGI
Participant Told PGI Group 1 Group 3
What Map PGI + VGI Group 2 Group 4
Contained
15. Study Rational
Dependable Variables
User Judgements of Online Information System Acceptance Model
Rieh (2002) Maguire (1998)
Quality Authority Usability
Good Trustworthy Usefulness
Accurate Credible Clear
Current Reliable Efficient
Useful Official Satisfaction
Important Authority
23. Part 2
Assumption Testing
User Judgements of Online Information System Acceptance Model
Rieh (2002) Maguire (1998)
Quality Authority Usability
Good Trustworthy Usefulness
Accurate Credible Clear
Current Reliable Efficient
Useful Official Satisfaction
Important Authority
24. Part 2
Assumption Testing: Factor Analysis
User Judgements of Online Information System Acceptance Model
Rieh (2002) Maguire (1998)
Quality & Authority Usability
Good Trustworthy Usefulness
Accurate Credible Clear
Current Reliable Efficient
Useful Official Satisfaction
Important Authority
25. Part 2
Assumption Testing: Collinearity
User Judgements of Online Information System Acceptance Model
Rieh (2002) Maguire (1998)
Quality & Authority Usability
Good Trustworthy Usefulness
Accurate Credible Clear
Current Reliable Efficient
Useful Official Satisfaction
Important Authority
30. Results
Quality and Authority
• Presenting VGI alongside PGI
• Most notable influence is on currency, as
perceived by the inclusion of VGI within the
data set and should be considered
• Importance, Credibility, Usefulness and
Authority are all positively influenced, but
how much consideration needed is
debatable
• Telling People their mashup contains VGI
alongside PGI
• Most notable influence is on Authority
• Usefulness and Credibility worth considering
• The importance of there variables and effect
of being told is limited
31. Results
System Acceptance
• Information Presented in Mashup
• 303 Participants (Estimation)
• F (3, 297) = 4.67
• p = .003 > .00851
• Wilks’ Lambda = .96
• ηp2 = .045
• Information Told to Participants
• 404 Participants (Estimation)
• F (3, 398) = 4.38
• p = .005 > .00851
• Wilks’ Lambda = .97
• ηp2 = .032
• No Statistically Significant Interaction
16/01/2012
33. Results
System Acceptance
• Presenting VGI alongside PGI
• Most notable influence is on usefulness
• May result from more info = more utility
• Telling People their mashup contains VGI
alongside PGI
• Most notable influence is on slightly
increased levels of satisfaction
• May be due to idea of social interaction?
35. Conclusions
From Research
• Presenting VGI Alongside PGI
• Reinforces the mantra of right data for right
task
• Does VGI cover more ground than PGI?
• Judgements of Quality & Authority increased
along with Usability
• No negative Influence!
• Telling Users They Are Using PGI
• Personally held biases have a measurable
effect on Quality & Authority and overall
Usability
• Effects are relatively minimal and attention
may be best given to other factors
• No negative influence!
36. Conclusions
For Design
• VGI did not change the game dramatically
• Though currency is a very interesting outcome
• In every case VGI enhanced the user
perceptions and usability
• VGI is not necessarily a game changer in
normal situations, but instead, if applied
correctly is polish.
• Wont make a bad system good
• But has potential to enhance what is already
good, making it more satisfying.
• Little point polishing low end mashups, but high
end a small amount of polish is VERY important
Editor's Notes
Our new home at the Loughborough Design School
Brief overview of the background research in my PhD so you understand why the research I will be talking about is important
VGI = Volunteered Geographic Information, PGI = Professional Geographic InformationThese are the main user groups that emerged from the interviewsEach user group perceives the other one differently, unique relationshipsEach one perceived VGI and PGI differentlyThis is based on user requirements AND existing beliefs.HAPPYNESS: We can’t please all the people all the time
Some photos of my data gathering with focus groups, participatory observations and diary studies.I didn’t capsize but I did manage to sink my kayak in the middle of the river!
Focus Group Graph = Impact of Information on Outcomes; #refs madeEarliest stages of kayaking activity rely on external informationLater stages rely on internal information (water gauges)Lots of VGI used in planning, therefore sharing experiences importantNo mention about volunteering the info – GAP!!!!VGI best for fast changing, subjective areasPGI best for static, objective features.HAPPYNESS: The info only helps make you happy when it helps you achieve your activity
Current Research
What we are trying to find out
These are the real influences we are measuring in the study
Two theories used as the backbone to this researchDID NOT mix them!
But we can’t just research any user group, we need on which fits our requirementsCLICKSo as you might have guessed by now, wheelchair users were selected!Compatible to kayakers, but different enough to understand the wider issues of use of VGI
Study in two parts…
Does adding VGI to PGI increase the quality, accuracy and usability perceptions of the mashup?Does telling people there is VGI in the PGI increase quality, accuracy and usability perceptions?
So we analyses the data, compiled it and presented it through a website FREE TRAVELLER
After using the website, participants given a questionnaire derived from the two base theories of this research4 questions (2 positive, 2 negative) per dependable variable. Wording of questions based on suggested key works as laid out by the frameworks.Then we run Multivariate Analysis of Variance to understand the influence of the fixed variables on the groups of judgements. (MANOVA)
That was the route we took over 6 hours!
So I went out in London with a group of wheelchair users and created my own VGI data set.Each wheelchair user had a diary and we recorded the good and the bad points about public transport in London
Done by literature review of all current transport data about London and disabled access. Gaining ‘best case scenario’ of what is currently presented professionally.Along with VGI, two data sets were created of a demonstrable quality above that commonly found online today.
Remember that website that we built?
And here is an example of the data with presented the participants withAt the end of using the maps a 32 question Likert scale (5 point) was presented to test the perceptions of Quality, Authority and Usability
Before MANOVA could be applied to survey data, assumptions needed to be tested.Initially three categories of data were presumed, in line with the theories
Confirmatory Factor Analysis demonstrated these two groups, not three
Multicollinearity and singularity testing (Spearman rho) demonstrated high correlation between some of the factors. These were removed from the data set to allow MANOVA to meet all of its assumptions. Removed these as we are interested in not just if variables are significant, but also their effect size.From this the frameworks of assessing the user reaction were reached.All other assumptions of the data required to run MANOVA were met.
All those demonstrated here are positively influenced by the VGI stimuliBare in mind, this graph is designed as an easily understandable overview of the data. Each dependable variable is demonstrating the Partial Eta Squared for the lowest N value to achieve significance. Realistic would be more skewed and misleading in one graph. Done this was due to the use of Sample Size Estimation which biases the data when taken to the Nth degree, so this graph is more realistic to a researchable sample size.0.01 is a small effect, 0.09 a medium effect and 0.25 a large effect
Graph to show currencyThe most dramatic. Shown to demonstrate the kind of relations were working with.
0.01 is a small effect, 0.09 a medium effect and 0.25 a large effectBare in mind that the effect sizes for usefulness on the Q&A and SA are similar.
While the extent to which this study can represent the exact nature of VGI is debatable, this study has demonstrated some important underlying phenomenon
While the extent to which this study can represent the exact nature of VGI is debatable, this study has demonstrated some important underlying phenomenon